Oier Mees
Oier Mees
Verified email at informatik.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
Choosing smartly: Adaptive multimodal fusion for object detection in changing environments
O Mees, A Eitel, W Burgard
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
382016
Learning to singulate objects using a push proposal network
A Eitel, N Hauff, W Burgard
arXiv preprint arXiv:1707.08101, 2017
222017
Metric Learning for Generalizing Spatial Relations to New Objects
O Mees, N Abdo, M Mazuran, W Burgard
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
102017
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics
O Mees, M Tatarchenko, T Brox, W Burgard
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
42019
Perspectives on Deep Multimodel Robot Learning
W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ...
Proceedings of the International Symposium on Robotics Research (ISRR), 2017
32017
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
O Mees, M Merklinger, G Kalweit, W Burgard
IEEE International Conference on Robotics and Automation (ICRA), 2020
2020
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
O Mees, A Emek, J Vertens, W Burgard
IEEE International Conference on Robotics and Automation (ICRA), 2020
2020
Adaptive Sensor Fusion for RGB-D Object Detection
O Mees, A Eitel, W Burgard
Deutsche Gesellschaft für Robotik - Tage 2016, 2016
2016
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Articles 1–8